[2026-02-12T22:39:45.555Z] Running test renaissance-movie-lens_0 ... [2026-02-12T22:39:45.555Z] =============================================== [2026-02-12T22:39:45.555Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 22:39:45 2026 Epoch Time (ms): 1770935985338 [2026-02-12T22:39:45.555Z] variation: NoOptions [2026-02-12T22:39:45.555Z] JVM_OPTIONS: [2026-02-12T22:39:45.555Z] { \ [2026-02-12T22:39:45.555Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T22:39:45.555Z] echo "Nothing to be done for setup."; \ [2026-02-12T22:39:45.555Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17709351957367/renaissance-movie-lens_0"; \ [2026-02-12T22:39:45.555Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17709351957367/renaissance-movie-lens_0"; \ [2026-02-12T22:39:45.555Z] echo ""; echo "TESTING:"; \ [2026-02-12T22:39:45.555Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17709351957367/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T22:39:45.555Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17709351957367/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T22:39:45.555Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T22:39:45.555Z] echo "Nothing to be done for teardown."; \ [2026-02-12T22:39:45.555Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17709351957367/TestTargetResult"; [2026-02-12T22:39:45.555Z] [2026-02-12T22:39:45.555Z] TEST SETUP: [2026-02-12T22:39:45.555Z] Nothing to be done for setup. [2026-02-12T22:39:45.555Z] [2026-02-12T22:39:45.555Z] TESTING: [2026-02-12T22:39:45.887Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-12T22:39:45.887Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17709351957367/renaissance-movie-lens_0/launcher-223945-933156864933709602/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-12T22:39:45.887Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-12T22:39:45.887Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-12T22:39:54.925Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T22:40:00.837Z] 22:40:00.001 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-12T22:40:02.500Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T22:40:02.500Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T22:40:02.500Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T22:40:02.829Z] GC before operation: completed in 157.213 ms, heap usage 567.750 MB -> 75.950 MB. [2026-02-12T22:40:08.737Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:40:11.701Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:40:14.667Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:40:17.624Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:40:18.789Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:40:24.692Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:40:25.843Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:40:26.994Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:40:27.324Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:40:27.324Z] The best model improves the baseline by 14.52%. [2026-02-12T22:40:27.653Z] Top recommended movies for user id 72: [2026-02-12T22:40:27.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:40:27.653Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:40:27.653Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:40:27.653Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:40:27.653Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:40:27.653Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24781.043 ms) ====== [2026-02-12T22:40:27.653Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T22:40:27.653Z] GC before operation: completed in 211.282 ms, heap usage 944.103 MB -> 95.240 MB. [2026-02-12T22:40:30.612Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:40:32.874Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:40:35.145Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:40:37.403Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:40:39.063Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:40:40.215Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:40:41.874Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:40:43.024Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:40:43.024Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:40:43.353Z] The best model improves the baseline by 14.52%. [2026-02-12T22:40:43.353Z] Top recommended movies for user id 72: [2026-02-12T22:40:43.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:40:43.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:40:43.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:40:43.353Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:40:43.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:40:43.353Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (15555.900 ms) ====== [2026-02-12T22:40:43.353Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T22:40:43.353Z] GC before operation: completed in 163.510 ms, heap usage 484.887 MB -> 89.154 MB. [2026-02-12T22:40:45.620Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:40:47.878Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:40:50.133Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:40:52.390Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:40:53.539Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:40:54.692Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:40:55.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:40:56.994Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:40:57.323Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:40:57.323Z] The best model improves the baseline by 14.52%. [2026-02-12T22:40:57.323Z] Top recommended movies for user id 72: [2026-02-12T22:40:57.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:40:57.323Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:40:57.323Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:40:57.323Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:40:57.323Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:40:57.323Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (13900.919 ms) ====== [2026-02-12T22:40:57.323Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T22:40:57.652Z] GC before operation: completed in 179.293 ms, heap usage 231.606 MB -> 89.450 MB. [2026-02-12T22:40:59.910Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:41:01.570Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:41:03.829Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:41:05.490Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:41:07.154Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:41:08.306Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:41:09.456Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:41:10.607Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:41:10.936Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:41:10.936Z] The best model improves the baseline by 14.52%. [2026-02-12T22:41:10.936Z] Top recommended movies for user id 72: [2026-02-12T22:41:10.936Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:41:10.936Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:41:10.936Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:41:10.936Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:41:10.936Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:41:10.936Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (13360.652 ms) ====== [2026-02-12T22:41:10.936Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T22:41:11.285Z] GC before operation: completed in 163.494 ms, heap usage 308.101 MB -> 89.826 MB. [2026-02-12T22:41:13.566Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:41:15.228Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:41:17.488Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:41:19.150Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:41:20.315Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:41:21.468Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:41:23.133Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:41:24.284Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:41:24.284Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:41:24.284Z] The best model improves the baseline by 14.52%. [2026-02-12T22:41:24.284Z] Top recommended movies for user id 72: [2026-02-12T22:41:24.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:41:24.284Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:41:24.284Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:41:24.284Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:41:24.284Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:41:24.284Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13283.888 ms) ====== [2026-02-12T22:41:24.284Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T22:41:24.618Z] GC before operation: completed in 144.233 ms, heap usage 257.231 MB -> 89.706 MB. [2026-02-12T22:41:26.884Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:41:28.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:41:30.860Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:41:32.525Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:41:33.675Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:41:34.824Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:41:35.990Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:41:37.649Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:41:37.649Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:41:37.649Z] The best model improves the baseline by 14.52%. [2026-02-12T22:41:37.979Z] Top recommended movies for user id 72: [2026-02-12T22:41:37.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:41:37.979Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:41:37.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:41:37.979Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:41:37.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:41:37.979Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13280.399 ms) ====== [2026-02-12T22:41:37.979Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T22:41:37.979Z] GC before operation: completed in 127.192 ms, heap usage 374.129 MB -> 90.268 MB. [2026-02-12T22:41:40.238Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:41:42.490Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:41:44.752Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:41:46.417Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:41:47.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:41:49.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:41:50.376Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:41:51.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:41:51.522Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:41:51.522Z] The best model improves the baseline by 14.52%. [2026-02-12T22:41:51.851Z] Top recommended movies for user id 72: [2026-02-12T22:41:51.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:41:51.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:41:51.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:41:51.851Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:41:51.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:41:51.851Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13788.806 ms) ====== [2026-02-12T22:41:51.851Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T22:41:51.851Z] GC before operation: completed in 99.200 ms, heap usage 501.353 MB -> 90.335 MB. [2026-02-12T22:41:54.109Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:41:55.865Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:41:58.117Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:41:59.784Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:42:00.931Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:42:02.115Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:42:03.772Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:42:04.918Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:42:04.918Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:42:04.918Z] The best model improves the baseline by 14.52%. [2026-02-12T22:42:04.918Z] Top recommended movies for user id 72: [2026-02-12T22:42:04.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:42:04.918Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:42:04.918Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:42:04.918Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:42:04.918Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:42:04.918Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13168.532 ms) ====== [2026-02-12T22:42:04.918Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T22:42:05.253Z] GC before operation: completed in 97.069 ms, heap usage 342.963 MB -> 90.323 MB. [2026-02-12T22:42:06.913Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:42:09.165Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:42:10.822Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:42:13.082Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:42:14.235Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:42:15.424Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:42:16.566Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:42:17.710Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:42:18.040Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:42:18.040Z] The best model improves the baseline by 14.52%. [2026-02-12T22:42:18.445Z] Top recommended movies for user id 72: [2026-02-12T22:42:18.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:42:18.445Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:42:18.445Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:42:18.445Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:42:18.445Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:42:18.445Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13266.785 ms) ====== [2026-02-12T22:42:18.445Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T22:42:18.445Z] GC before operation: completed in 123.956 ms, heap usage 122.535 MB -> 89.987 MB. [2026-02-12T22:42:20.706Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:42:22.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:42:24.011Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:42:25.667Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:42:26.812Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:42:27.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:42:29.097Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:42:30.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:42:30.258Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:42:30.258Z] The best model improves the baseline by 14.52%. [2026-02-12T22:42:30.258Z] Top recommended movies for user id 72: [2026-02-12T22:42:30.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:42:30.258Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:42:30.258Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:42:30.258Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:42:30.258Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:42:30.258Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11919.771 ms) ====== [2026-02-12T22:42:30.258Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T22:42:30.585Z] GC before operation: completed in 140.151 ms, heap usage 250.762 MB -> 90.290 MB. [2026-02-12T22:42:32.244Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:42:34.492Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:42:36.142Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:42:37.800Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:42:38.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:42:40.101Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:42:41.247Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:42:42.400Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:42:42.400Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:42:42.761Z] The best model improves the baseline by 14.52%. [2026-02-12T22:42:42.761Z] Top recommended movies for user id 72: [2026-02-12T22:42:42.761Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:42:42.761Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:42:42.761Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:42:42.761Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:42:42.761Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:42:42.761Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (12142.435 ms) ====== [2026-02-12T22:42:42.761Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T22:42:42.761Z] GC before operation: completed in 96.260 ms, heap usage 241.762 MB -> 90.007 MB. [2026-02-12T22:42:45.013Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:42:46.666Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:42:48.416Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:42:50.069Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:42:51.210Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:42:52.359Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:42:53.506Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:42:54.650Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:42:54.650Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:42:54.650Z] The best model improves the baseline by 14.52%. [2026-02-12T22:42:54.980Z] Top recommended movies for user id 72: [2026-02-12T22:42:54.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:42:54.980Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:42:54.980Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:42:54.980Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:42:54.980Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:42:54.980Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12111.696 ms) ====== [2026-02-12T22:42:54.980Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T22:42:54.980Z] GC before operation: completed in 109.772 ms, heap usage 200.176 MB -> 90.236 MB. [2026-02-12T22:42:56.650Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:42:58.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:43:00.571Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:43:02.238Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:43:03.900Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:43:04.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:43:06.271Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:43:07.423Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:43:07.754Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:43:07.754Z] The best model improves the baseline by 14.52%. [2026-02-12T22:43:07.754Z] Top recommended movies for user id 72: [2026-02-12T22:43:07.754Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:43:07.754Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:43:07.754Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:43:07.754Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:43:07.754Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:43:07.754Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12834.960 ms) ====== [2026-02-12T22:43:07.754Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T22:43:08.084Z] GC before operation: completed in 84.603 ms, heap usage 265.877 MB -> 90.475 MB. [2026-02-12T22:43:10.356Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:43:12.047Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:43:14.392Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:43:16.054Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:43:17.251Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:43:18.404Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:43:20.067Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:43:21.219Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:43:21.219Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:43:21.219Z] The best model improves the baseline by 14.52%. [2026-02-12T22:43:21.549Z] Top recommended movies for user id 72: [2026-02-12T22:43:21.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:43:21.549Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:43:21.549Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:43:21.549Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:43:21.549Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:43:21.549Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13476.555 ms) ====== [2026-02-12T22:43:21.549Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T22:43:21.549Z] GC before operation: completed in 130.006 ms, heap usage 542.635 MB -> 93.818 MB. [2026-02-12T22:43:23.809Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:43:25.473Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:43:27.734Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:43:29.407Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:43:31.079Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:43:31.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:43:33.452Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:43:34.601Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:43:34.601Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:43:34.601Z] The best model improves the baseline by 14.52%. [2026-02-12T22:43:34.934Z] Top recommended movies for user id 72: [2026-02-12T22:43:34.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:43:34.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:43:34.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:43:34.934Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:43:34.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:43:34.934Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13234.082 ms) ====== [2026-02-12T22:43:34.934Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T22:43:34.934Z] GC before operation: completed in 90.108 ms, heap usage 111.405 MB -> 92.135 MB. [2026-02-12T22:43:37.199Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:43:38.862Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:43:40.526Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:43:42.279Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:43:43.430Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:43:44.588Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:43:46.276Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:43:46.985Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:43:47.314Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:43:47.314Z] The best model improves the baseline by 14.52%. [2026-02-12T22:43:47.314Z] Top recommended movies for user id 72: [2026-02-12T22:43:47.314Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:43:47.314Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:43:47.314Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:43:47.314Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:43:47.314Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:43:47.314Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12550.748 ms) ====== [2026-02-12T22:43:47.314Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T22:43:47.682Z] GC before operation: completed in 102.792 ms, heap usage 166.836 MB -> 90.263 MB. [2026-02-12T22:43:49.344Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:43:51.005Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:43:53.266Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:43:54.929Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:43:56.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:43:57.227Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:43:58.373Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:43:59.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:43:59.568Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:43:59.568Z] The best model improves the baseline by 14.52%. [2026-02-12T22:43:59.568Z] Top recommended movies for user id 72: [2026-02-12T22:43:59.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:43:59.568Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:43:59.568Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:43:59.568Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:43:59.568Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:43:59.568Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12169.065 ms) ====== [2026-02-12T22:43:59.568Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T22:43:59.900Z] GC before operation: completed in 119.084 ms, heap usage 773.415 MB -> 94.284 MB. [2026-02-12T22:44:02.158Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:44:04.422Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:44:06.092Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:44:07.753Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:44:08.988Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:44:10.133Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:44:11.289Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:44:12.441Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:44:12.441Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:44:12.441Z] The best model improves the baseline by 14.52%. [2026-02-12T22:44:12.441Z] Top recommended movies for user id 72: [2026-02-12T22:44:12.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:44:12.441Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:44:12.441Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:44:12.441Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:44:12.441Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:44:12.441Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12705.852 ms) ====== [2026-02-12T22:44:12.441Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T22:44:12.769Z] GC before operation: completed in 133.605 ms, heap usage 910.568 MB -> 94.837 MB. [2026-02-12T22:44:14.433Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:44:16.692Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:44:18.951Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:44:20.612Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:44:21.762Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:44:22.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:44:23.621Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:44:24.773Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:44:25.102Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:44:25.102Z] The best model improves the baseline by 14.52%. [2026-02-12T22:44:25.102Z] Top recommended movies for user id 72: [2026-02-12T22:44:25.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:44:25.102Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:44:25.102Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:44:25.102Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:44:25.103Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:44:25.103Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12576.345 ms) ====== [2026-02-12T22:44:25.103Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T22:44:25.432Z] GC before operation: completed in 113.002 ms, heap usage 688.494 MB -> 94.174 MB. [2026-02-12T22:44:27.139Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:44:29.397Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:44:31.067Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:44:32.732Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:44:33.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:44:35.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:44:36.286Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:44:37.450Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:44:37.450Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:44:37.450Z] The best model improves the baseline by 14.52%. [2026-02-12T22:44:37.450Z] Top recommended movies for user id 72: [2026-02-12T22:44:37.450Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:44:37.450Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:44:37.450Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:44:37.450Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:44:37.450Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:44:37.450Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12234.944 ms) ====== [2026-02-12T22:44:38.601Z] ----------------------------------- [2026-02-12T22:44:38.601Z] renaissance-movie-lens_0_PASSED [2026-02-12T22:44:38.601Z] ----------------------------------- [2026-02-12T22:44:38.601Z] [2026-02-12T22:44:38.601Z] TEST TEARDOWN: [2026-02-12T22:44:38.601Z] Nothing to be done for teardown. [2026-02-12T22:44:38.601Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 22:44:38 2026 Epoch Time (ms): 1770936278295